Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Construction and validation of a machine learning model for the diagnosis of juvenile idiopathic arthritis based on fecal microbiota

8 Mar 2024

Abstract excerpt

Purpose: Human gut microbiota has been shown to be significantly associated with various inflammatory diseases. Therefore, this study aimed to develop an excellent auxiliary tool for the diagnosis of juvenile idiopathic arthritis (JIA) based on fecal microbial biomarkers. Method: The fecal metagenomic sequencing data associated with JIA were extracted from NCBI, and the sequencing data were transformed into the...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Autoimmune and Inflammatory Disorders Research
Share to Gut microbiota and health
Share to Rheumatoid Arthritis Research and Therapies

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 38524178
DOI: 10.3389/fcimb.2024.1371371

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Construction and validation of a machine learning model for the diagnosis of juvenile idiopathic arthritis based on fecal microbiotaPMID 38524178Read ↗

Gut microbiota in children with juvenile idiopathic arthritis: characteristics, biomarker identification, and usefulness in clinical predictionSemantic proximity Read ↗

Causal association of juvenile idiopathic arthritis or JIA-associated uveitis and gut microbiota: a bidirectional two-sample Mendelian randomisation study.Semantic proximity Read ↗

Identification of Potential Diagnostic Biomarkers for Systemic Juvenile Idiopathic Arthritis by Integrative Transcriptomic AnalysisSemantic proximity Read ↗

Metagenomics and Machine Learning-Based Precision Medicine Approaches for Autoimmune DiseasesSemantic proximity Read ↗

Gut microbiota landscape and potential biomarker identification in female patients with systemic lupus erythematosus using machine learningSemantic proximity Read ↗

Update on the pathogenesis and treatment of juvenile idiopathic arthritis.Semantic proximity Read ↗

Integrating traditional omics and machine learning approaches to identify microbial biomarkers and therapeutic targets in pediatric inflammatory bowel diseaseSemantic proximity Read ↗

Advancements and progress in juvenile idiopathic arthritis: A Review of pathophysiology and treatment.Semantic proximity Read ↗

Metagenomics - AI powered prediction of Inflammatory Bowel’s Disease and Probiotic RecommendationSemantic proximity Read ↗

Development of a 32-gene signature using machine learning for accurate prediction of inflammatory bowel diseaseSemantic proximity Read ↗

Fecal Microbial Community Profiling Allows Discrimination of Phenotype and Treatment Response in Pediatric Crohn's Disease and Ulcerative Colitis-An International Meta-Analysis.Semantic proximity Read ↗

Identification of Key Biomarkers in RF-negative Polyarticular and Oligoarticular juvenile idiopathic arthritis by Bioinformatic AnalysisSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.